[HTML][HTML] Impact of artificial intelligence on the planning and operation of distributed energy systems in smart grids
This review paper thoroughly explores the impact of artificial intelligence on the planning
and operation of distributed energy systems in smart grids. With the rapid advancement of …
and operation of distributed energy systems in smart grids. With the rapid advancement of …
Function offloading approaches in serverless computing: A Survey
In recent years, serverless computing has become one of the popular approaches to
develo** and running applications, allowing developers to run their code directly in the …
develo** and running applications, allowing developers to run their code directly in the …
Optimizing Edge Computing through Virtualization: A Comprehensive Review.
N Saini, J Kumar - … journal of advanced research in computer …, 2024 - search.ebscohost.com
The adoption of virtualization in edge computing promotes the use of numerous applications
and operating systems on a single physical server. The technological environment is …
and operating systems on a single physical server. The technological environment is …
Container migration for edge computing in industrial Internet with joint latency reduction and reliability enhancement
X **, S He, Y Chen - Scientific Reports, 2024 - nature.com
Edge computing has emerged as a prominent trend in the field of information technology,
offering flexible and robust resources for the industrial Internet. How to migrate container …
offering flexible and robust resources for the industrial Internet. How to migrate container …
Serverless computing in the cloud-to-edge continuum
Serverless computing is establishing itself as a way to efficiently run cloud applications while
abstracting the underlying infrastructure complexity away from application developers. At the …
abstracting the underlying infrastructure complexity away from application developers. At the …
Edge-Cloud-Assisted Multivariate Time Series Data-Based VAR and Sequential Encoder–Decoder Framework for Multi-Disease Prediction
S Haq, P Verma - Arabian Journal for Science and Engineering, 2025 - Springer
Multivariate clinical time series data like demographic information, lifestyle factors, and
health indicators for multi-outcomes are essential for capturing complex interdependencies …
health indicators for multi-outcomes are essential for capturing complex interdependencies …
SG-MOACO: a semi-greedy multi-objective ACO method for edge server placement in mobile edge computing
Abstract The importance of Mobile Edge Computing (MEC) systems has risen due to
increasing data volumes from Internet of Things (IoT) devices and connected technologies …
increasing data volumes from Internet of Things (IoT) devices and connected technologies …
Decentralized dynamic load balancing for virtual machines in cloud computing: a blockchain-enabled system with state channel optimization
J Roselin, IJ Insulata - The Journal of Supercomputing, 2025 - Springer
This paper introduces an innovative load balancing algorithm that utilizes blockchain-
enabled cloud computing environments. The proposed scheme leverages blockchain …
enabled cloud computing environments. The proposed scheme leverages blockchain …
HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud
M Kim, W Shu, MA Salehi - arxiv preprint arxiv:2411.19487, 2024 - arxiv.org
The high computational, memory, and energy demands of Deep Learning (DL) applications
often exceed the capabilities of battery-powered edge devices, creating difficulties in …
often exceed the capabilities of battery-powered edge devices, creating difficulties in …
Non-Stationary Gradient Descent for Optimal Auto-Scaling in Serverless Platforms
To efficiently manage serverless computing platforms, a key aspect is the auto-scaling of
services, ie, the set of computational resources allocated to a service adapts over time as a …
services, ie, the set of computational resources allocated to a service adapts over time as a …